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Contact

Language Skills

R
Stata
Bash
Python
C++

Disclaimer

The source code is available on my GitHub.

Last updated on 2020-11-11.

Main

Megan Hollister Murray

Education

Ph.D. Candidate, Biostatistics

Vanderbilt University

Nashville, TN

Current - 2017

  • False Discovery rates, Machine Learning methods, and Second Generation p-values
  • Expected graduation: Summer 2022

B.S., Mathematics

Baylor University

Waco,TX

2017 - 2013

  • Honors Thesis: Multi-Parameter Functions in Chaotic Dynamical Systems

Research Experience

Graduate Research Assistant

Vanderbilt University

Nashville, TN

Current - 2020

  • Identifying determinants of racial disparities in lung cancer stage
  • Contributed to the research findings and writing of a $1.25M multi-investigator federal grant

NIH TL1 Trainee

Vanderbilt University

Nashville, TN

2020 - 2018

  • An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.
  • Compared machine learning methods and statistical inference methods for discovery in large-scale translational data. Found that traditional methods perform as well as machine learning methods.

Statistical Evidence in Data Science Lab

Vanderbilt University

Nashville, TN

2019 - 2018

  • “Large-Scale Inference” by Bradley Efron
  • A small group of students and professors read through and discussed in detail the first 6 chapters of Efron’s book along with a selection of complimentary papers.

Chaos Theory Lab

Baylor University

Waco, TX

2017 - 2015

  • “An Introduction to Chaotic Dynamical Systems” by Robert L. Devaney
  • Lab group carefully read and proved theorems and propositions from this book. Dr. Brian Raines guided us through the theory.

Applied Mathematics Undergraduate Researcher

North Carolina State University

Raleigh, NC

2016

  • Applied Mathematics Research Experience for Undergraduates
  • Mathematically modeled chemical absorption and metabolism through the skin. On a team of four undergraduate students mentored by a biochemist from the EPA.

Teaching Experience

Probability & Statistical Inference

Vanderbilt Data Science Department

Nashville, TN

Current - 2019

  • Head TA
  • Masters course covers the fundamentals of probability theory and statistical inference.

Contemporary Statistical Inference

Vanderbilt Biostatistics Department

Nashville, TN

2020

  • TA and lectured
  • Graduate course focuses on the goal(s) of statistical tools for inference.

Selected Publications, Posters, and Talks

Factors Influencing Precision Medicine Knowledge and Attitudes

PLOS One Paper

N/A

2020

False Discovery Rate Computation: Illustrations and Modifications

Arxiv Paper

N/A

2020

An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.

ENAR Conference Short Oral Presentation

Philadelphia, PA

2019

An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.

ACTS Conference Poster Presentation

Washington D.C.

2019

  • Ranked in top 25% of posters

Modeling Dermal Diffusion and Metabolism for Consumer Products

Joint Mathematics Meeting Poster Presentation

Atlanta, GA

2017

  • Ranked in top 10% of posters

Awards and Scholarships

The University Graduate Fellowship

Vanderbilt University

Nashville, TN

2020 - 2017

  • Awarded by the Graduate School to highly qualified students entering study for the PhD or the master’s degree.

Distinguished Teaching Assistant

Vanderbilt Biostatistics Department

Nashville, TN

2020 - 2019

  • Awarded each year based on student recommendations for a helpful and intelligent TA.